| 基于对位学习多目标遗传算法的板形板厚控制 |
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| 引用本文： | 王昱,李勇.基于对位学习多目标遗传算法的板形板厚控制[J].系统仿真学报,2012,24(4):863-867. |
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| 作者姓名： | 王昱 李勇 |
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| 作者单位： | 1. 沈阳航空航天大学自动化学院,辽宁,110136
2. 沈阳工业大学“特种电机与高压电器”部、省共建重点实验室,辽宁,110870 |
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| 基金项目： | 辽宁省教育厅科学技术研究一般项目(201134123) |
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| 摘 要： | 提出了一种基于对位学习多目标遗传算法的板形板厚控制系统设计方法。该方法给出了控制系统的结构,建立了板形板厚控制器参数的多目标优化模型,并采用对位学习多目标遗传算法对该模型进行多目标优化,得到一组控制器参数的Pareto解。在其中选择三个Pareto解对应的控制器参数,作用于板形板厚控制系统做仿真研究。结果表明,所得到的Pareto解集中选定区域的解都可以使系统具有满意的性能,并且对扰动有较好的抑制作用,证实了该方法的有效性。
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| 关 键 词： | 对位学习 多目标遗传算法 板形板厚控制系统 多目标优化 |
Control of Shape and Gauge System Based on Opposition Learning Multi-objective Genetic Algorithm |
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| WANG Yu,LI Yong.Control of Shape and Gauge System Based on Opposition Learning Multi-objective Genetic Algorithm[J].Journal of System Simulation,2012,24(4):863-867. |
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| Authors: | WANG Yu LI Yong |
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| Institution: | 1.Institute of Automation Shenyang Aerospace University,Shenyang 110136,China; 2.Education Ministry and Province Key laboratory of Special Motor and High Voltage Apparatus, Shenyang University of Technology,Shenyang 110870,China) |
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| Abstract: | An opposition learning multi-objective genetic algorithm based shape and gauge control system design approach was proposed.First,structure of shape and gauge control system was designed,and then the multi-objective optimization model of controller parameter was established.Second opposition learning multi-objective genetic algorithm was applied to the model.As a result a set of Pareto solution of the controller parameter was obtained.Finally,three solutions in the Pareto solution set were picked up for the simulation.Result shows that solutions in the area selected among the Pareto solution set can make the system satisfy performance and better disturbance suppression.The validity of the proposed approach is confirmed. |
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| Keywords: | opposition based learning multi-objective genetic algorithm shape and gauge control system multi-objective optimization |
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